Structural Brain Changes in Early-Onset Alzheimer's Disease Subjects Using the LONI Pipeline Environment
Corresponding Author
Seok Woo Moon
Department of Psychiatry, Konkuk University School of Medicine, Seoul, 143-701 Korea
These authors have contributed equally to this work.
Correspondence: Address correspondence to Seok Woo Moon, Dementia Center, Department of Neuropsychiatry, Konkuk University Hospital, 82 Gukwon-daero, Chungju-si, Chungbuk-do 380-704, Korea. E-mail: [email protected].Search for more papers by this authorIvo D. Dinov
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
University of Michigan, School of Nursing, Ann Arbor, MI, 48109
These authors have contributed equally to this work.
Search for more papers by this authorSam Hobel
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorAlen Zamanyan
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorYoung Chil Choi
Department of Radiology, Konkuk University School of Medicine, Seoul, 143-701 Korea
Search for more papers by this authorRan Shi
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorPaul M. Thompson
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorArthur W. Toga
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorfor the Alzheimer's Disease Neuroimaging Initiative
Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report.
Search for more papers by this authorCorresponding Author
Seok Woo Moon
Department of Psychiatry, Konkuk University School of Medicine, Seoul, 143-701 Korea
These authors have contributed equally to this work.
Correspondence: Address correspondence to Seok Woo Moon, Dementia Center, Department of Neuropsychiatry, Konkuk University Hospital, 82 Gukwon-daero, Chungju-si, Chungbuk-do 380-704, Korea. E-mail: [email protected].Search for more papers by this authorIvo D. Dinov
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
University of Michigan, School of Nursing, Ann Arbor, MI, 48109
These authors have contributed equally to this work.
Search for more papers by this authorSam Hobel
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorAlen Zamanyan
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorYoung Chil Choi
Department of Radiology, Konkuk University School of Medicine, Seoul, 143-701 Korea
Search for more papers by this authorRan Shi
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorPaul M. Thompson
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorArthur W. Toga
Laboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, 90032
Search for more papers by this authorfor the Alzheimer's Disease Neuroimaging Initiative
Data used in preparation of this article were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or provided data but did not participate in analysis or writing of this report.
Search for more papers by this authorA complete listing of ADNI investigators can be found at: http://adni.loni.usc.edu/wp-content/uploads/how_to_apply/ADNI_Acknowledgement_List.pdf
ABSTRACT
BACKGROUND AND PURPOSE
This study investigates 36 subjects aged 55-65 from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to expand our knowledge of early-onset (EO) Alzheimer's Disease (EO-AD) using neuroimaging biomarkers.
METHODS
Nine of the subjects had EO-AD, and 27 had EO mild cognitive impairment (EO-MCI). The structural ADNI data were parcellated using BrainParser, and the 15 most discriminating neuroimaging markers between the two cohorts were extracted using the Global Shape Analysis (GSA) Pipeline workflow. Then the Local Shape Analysis (LSA) Pipeline workflow was used to conduct local (per-vertex) post-hoc statistical analyses of the shape differences based on the participants’ diagnoses (EO-MCI+EO-AD). Tensor-based Morphometry (TBM) and multivariate regression models were used to identify the significance of the structural brain differences based on the participants’ diagnoses.
RESULTS
The significant between-group regional differences using GSA were found in 15 neuroimaging markers. The results of the LSA analysis workflow were based on the subject diagnosis, age, years of education, apolipoprotein E (ε4), Mini-Mental State Examination, visiting times, and logical memory as regressors. All the variables had significant effects on the regional shape measures. Some of these effects survived the false discovery rate (FDR) correction. Similarly, the TBM analysis showed significant effects on the Jacobian displacement vector fields, but these effects were reduced after FDR correction.
CONCLUSIONS
These results may explain some of the differences between EO-AD and EO-MCI, and some of the characteristics of the EO cognitive impairment subjects.
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